{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas._libs.tslibs.timestamps.Timestamp"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timestamp = pd.Timestamp(1412526600000000000)\n",
    "series = pd.Series([], dtype=object)\n",
    "series['timestamp'] = timestamp\n",
    "type(series.timestamp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "int"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "series = pd.Series([], dtype=object)\n",
    "series['anything'] = 300.0\n",
    "series['timestamp'] = timestamp\n",
    "type(series.timestamp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "series.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "INSTALLED VERSIONS\n",
      "------------------\n",
      "commit: None\n",
      "python: 3.6.5.final.0\n",
      "python-bits: 64\n",
      "OS: Linux\n",
      "OS-release: 4.4.0-128-generic\n",
      "machine: x86_64\n",
      "processor: x86_64\n",
      "byteorder: little\n",
      "LC_ALL: None\n",
      "LANG: en_US.utf8\n",
      "LOCALE: en_US.UTF-8\n",
      "\n",
      "pandas: 0.23.0\n",
      "pytest: 3.5.1\n",
      "pip: 10.0.1\n",
      "setuptools: 39.1.0\n",
      "Cython: 0.28.2\n",
      "numpy: 1.14.3\n",
      "scipy: 1.1.0\n",
      "pyarrow: None\n",
      "xarray: None\n",
      "IPython: 6.4.0\n",
      "sphinx: 1.7.4\n",
      "patsy: 0.5.0\n",
      "dateutil: 2.7.3\n",
      "pytz: 2018.4\n",
      "blosc: None\n",
      "bottleneck: 1.2.1\n",
      "tables: 3.4.3\n",
      "numexpr: 2.6.5\n",
      "feather: None\n",
      "matplotlib: 2.2.2\n",
      "openpyxl: 2.5.3\n",
      "xlrd: 1.1.0\n",
      "xlwt: 1.3.0\n",
      "xlsxwriter: 1.0.4\n",
      "lxml: 4.2.1\n",
      "bs4: 4.6.0\n",
      "html5lib: 1.0.1\n",
      "sqlalchemy: 1.2.7\n",
      "pymysql: None\n",
      "psycopg2: None\n",
      "jinja2: 2.10\n",
      "s3fs: None\n",
      "fastparquet: None\n",
      "pandas_gbq: None\n",
      "pandas_datareader: None\n"
     ]
    }
   ],
   "source": [
    "pd.show_versions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
